A fuzzy logic for autonomous navigation of marine vehicles satisfying COLREG guidelines

International Journal of Control, Automation and Systems

Volumn 2, Issue 2, 2004, Pages 171-181

  Lee, Sang Min ^a   Kwon, Kyung Yub ^a   Joh, Joongseon ^a  

^a Changwon National University   (South Korea)

Author keywords

Collision avoidance; COLREG; Fuzzy logic; Marine vehicles; Modified virtual force field; Moving obstacles

Indexed keywords

ALGORITHMS; COLLISION AVOIDANCE; COMPUTATIONAL METHODS; HEURISTIC METHODS; MATHEMATICAL OPERATORS; NAVIGATION; ROBOTICS;

COLREG; MARINE VEHICLES; MODIFIED VIRTUAL FORCE FIELD; MOVING OBSTACLES;

FUZZY SETS;

EID: 4544307300     PISSN: 15986446     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (16)

1. E. Alfaro-Cid, E. W. McGookin, and D. J. Murray-Smith, "Genetic algorithm optimization of a supply ship propulsion and navigation systems," OCEANS, 2001: MTS/IEEE Conference and Exhibition, vol. 4, pp. 2645-2652, 2001.
2. R. S. Burns, G. Blackwell, and S. Calvert, "An automatic guidance, navigation and collision avoidance system for ships at sea," IEE Collo quium on Control in the Marine Industry, pp. 3/1-3/3, 1988.
3. Y. M. Enab, "Intelligent controller design for the ship steering problem," IEE Proceedings Control theory & Applications, vol. 143, no. 1, pp. 17-24, 1996.
4. T. I. Fossen, Guidance and Control of Ocean Vehicles, John Wiley & Sons Ltd., 1994.
5. T. Holzhuter, "LQG approach for the high-precision track control of ships," IEE Proceedings Control theory & Applications, vol. 144, no. 2, pp. 121-128, 1997.
6. X. Hong, C. J. Harris, and P. A. Wilson, "Autonomous ship collision free trajectory navigation and control algorithms," Proc. 7th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA '99, vol. 2, pp. 923-929, 1999.
7. K.-Y. Im and S.-Y. Oh, "An extended virtual force field based behavioral fusion with neural networks and evolutionary programming for mobile robot navigation," Proc. of the 2000 Congress on Evolutionary Computation, vol. 2, pp. 1238-1244, 2000
8. S. B. Lee and I. Kim. "A ship automatic navigation in dynamic environment using artificial intelligence," Proc. of the Fourth International Conference on Knowledge-Based Intelligent Engineering Systems and Allied Technologies, vol. 1, pp. 418-422, 2000.
9. J. D. Lee and T. F. Sanquist, "Augmenting the operator function model with cognitive operations: assessing the cognitive demands of technological innovation in ship navigation," IEEE Trans. on Systems, Man and Cybernetics, Part A, vol. 30, no. 3, pp. 273-285, 2000.
10. ∞ Control To The Ship Trajectory Tracking Problem," Proc. of the 3rd IFAC Workshop on Control Applications in Marine Systems, pp. 131-137, 1995.
11. A. A. Masoud and M. M. Bayoumi, "Robot navigation using the vector potential approach," Proc. of IEEE international Conference on Robotics and Automation, vol. 1, pp. 805-811, 1993.
12. M. Stamenkovich, "An application of artificial neural networks for autonomous ship navigation through a channel," Position Location and Navigation Symposium, '500 Years After Columbus-Navigation Challenges of Tomorrow', IEEE PLANS '92,pp. 346-352, 1992.
13. T. W. Vaneck, "Fuzzy guidance controller for an autonomous boat," IEEE Control Systems, vol. 17, no. 2, pp. 43-51, 1997.
14. N. A. J. Witt, R. Sutton, and K. M. Miller, "A track keeping neural network controller for ship guidance," Proc. of the 3rd IFAC Workshop on Control Applications in Marine Systems, pp. 385-392, 1995.
15. R. J. Zhang, Y. B. Chen, Z. Q. Sun, F. C. Sun, and H. Z. Xu, "Path control of a surface ship in restricted waters using sliding mode," IEEE Trans. on Control Systems Technology, vol. 8, no. 4, pp. 722-732, 2000.
16. X. K. Zhang, X. L. Jia, and X. C. Wang, "Robust track-keeping autopilot for ships", Proc. of the 3rd IFAC Workshop on Control Applications in Marine Systems, pp. 138-142, 1995.